Mi‐Jeong Yoo

4.8k citations
43 papers · 2.3k indexed · h-index 24
Topics
Research in Cotton Cultivation (8 papers)Chromosomal and Genetic Variations (8 papers)Plant and Fungal Species Descriptions (7 papers)
Partner nations
United StatesChinaEgypt

In The Last Decade

Mi‐Jeong Yoo

40 papers receiving 2.3k citations

Peers

Mi‐Jeong Yoo
Comparison fields: 5 of 105
  • Plant Science 1.7k
  • Molecular Biology 1.4k
  • Ecology, Evolution, Behavior and Systematics 447
  • Genetics 239
  • Physiology 128
Replace Gábor Jakab with:
Gábor Jakab Hungary
Christian Schmitz‐Linneweber Germany
Qiongyi Zhao Australia
Chao Gu China
John E. Bradshaw United Kingdom
Ghislaı̀n Breton United States
Hirokazu Fukui Japan
James L. Weller Australia
P. Perrino Germany
Mi‐Jeong Yoo relative to Gábor Jakab Hungary Gábor Jakab's profile →
Citations per field
00.5×4.6×
Gábor Jakab · 1×
Citations per year

Countries citing papers authored by Mi‐Jeong Yoo

Since Specialization
Citations

This map shows the geographic impact of Mi‐Jeong Yoo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mi‐Jeong Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi‐Jeong Yoo more than expected).

Fields of papers citing papers by Mi‐Jeong Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi‐Jeong Yoo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mi‐Jeong Yoo. The network helps show where Mi‐Jeong Yoo may publish in the future.

Co-authorship network of co-authors of Mi‐Jeong Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Jeong Yoo. A scholar is included among the top collaborators of Mi‐Jeong Yoo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mi‐Jeong Yoo. Mi‐Jeong Yoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 0
4 3
5 17
6 8
7 19
8 18
9 6
10 27
11 31
12 23
13 120
14 39
15 309
16 19
17 165
18 29
19 211
20 163

About Mi‐Jeong Yoo

Mi‐Jeong Yoo is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (8 papers), Chromosomal and Genetic Variations (8 papers) and Plant and Fungal Species Descriptions (7 papers). The work is most often cited by research in Plant Science (1.7k citations), Ecology, Evolution, Behavior and Systematics (447 citations) and Molecular Biology (1.4k citations). Mi‐Jeong Yoo has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Jonathan F. Wendel, Pamela S. Soltis, Emmanuel Szadkowski, Jin Koh, Sixue Chen, Sangtae Kim, Victor A. Albert, Xiaoxian Liu, J. Chris Pires and Ning Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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